Gender: Male 
Age: 60+
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: Undergraduate degree
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 3
Home: Rent 
Employment: Retired
Occupation: Prefer not to say
Mother's occupation: Homemaker
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Listen to rock/indie music;Listen to jazz;Go to gigs;Use social media;Watch sports 
Devices used daily: Laptop;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools they would find useful: Text-to-Speech (i.e, computers being able to read out loud written language) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Digital content creation (e.g., creation of social media content);Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Entertainment;Learning;Personal;Creative or artistic;Work 
Prompt 1: Please provide me with ten possible YouTube titles for a video no traveling from Seattle to Olympia via the Amtrak Cascades line. Make the title spark enough curiosity so someone has to click to find out!
Prompt 2: Make the following YouTube title more compelling: 35 hours in business class on Amtrak's Coast Starlight.
Prompt 3: Make the following YouTube title more curious: 35 hours in business class on Amtrak's Coast Starlight.
Prompt 4: Make the following YouTube title more dangerous: 35 hours in business class on Amtrak's Coast Starlight.
Prompt 5: Make the following YouTube title more mysterious: 35 hours in business class on Amtrak's Coast Starlight.
Prompt 6: Create 10 Alternative YouTube titles for: 35 hours in business class on Coast Starlight! What's it like?
Prompt 7: Create 10 Alternative YouTube titles that add mystery and turn it into a question for: 35 hours in business class on Coast Starlight! What's it like?
Prompt 8: create a narration for a trip South to North on Amtrak's Coast Starlight train
Prompt 9: create a narration about L.A.'s Union Station
Prompt 10: create an intriquing narration about L.A.'s Union Station in one paragraph
Comments: This was an interesting and fun survey. I LOVE AI, and I'm only scratching the surface of it's almost limitless capabilities. Thank you for letting me participate.